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<h1 id="sec_name">
<span data-if="hdevelop" style="display:inline;">inspect_clustered_components</span><span data-if="c" style="display:none;">T_inspect_clustered_components</span><span data-if="cpp" style="display:none;">InspectClusteredComponents</span><span data-if="dotnet" style="display:none;">InspectClusteredComponents</span><span data-if="python" style="display:none;">inspect_clustered_components</span> (算子名称)</h1>
<h2>名称</h2>
<p><code><span data-if="hdevelop" style="display:inline;">inspect_clustered_components</span><span data-if="c" style="display:none;">T_inspect_clustered_components</span><span data-if="cpp" style="display:none;">InspectClusteredComponents</span><span data-if="dotnet" style="display:none;">InspectClusteredComponents</span><span data-if="python" style="display:none;">inspect_clustered_components</span></code> — Inspect the rigid model components obtained from the training.</p>
<h2 id="sec_synopsis">参数签名</h2>
<div data-if="hdevelop" style="display:inline;">
<p>
<code><b>inspect_clustered_components</b>( : <a href="#ModelComponents"><i>ModelComponents</i></a> : <a href="#ComponentTrainingID"><i>ComponentTrainingID</i></a>, <a href="#AmbiguityCriterion"><i>AmbiguityCriterion</i></a>, <a href="#MaxContourOverlap"><i>MaxContourOverlap</i></a>, <a href="#ClusterThreshold"><i>ClusterThreshold</i></a> : )</code></p>
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<div data-if="c" style="display:none;">
<p>
<code>Herror <b>T_inspect_clustered_components</b>(Hobject* <a href="#ModelComponents"><i>ModelComponents</i></a>, const Htuple <a href="#ComponentTrainingID"><i>ComponentTrainingID</i></a>, const Htuple <a href="#AmbiguityCriterion"><i>AmbiguityCriterion</i></a>, const Htuple <a href="#MaxContourOverlap"><i>MaxContourOverlap</i></a>, const Htuple <a href="#ClusterThreshold"><i>ClusterThreshold</i></a>)</code></p>
</div>
<div data-if="cpp" style="display:none;">
<p>
<code>void <b>InspectClusteredComponents</b>(HObject* <a href="#ModelComponents"><i>ModelComponents</i></a>, const HTuple&amp; <a href="#ComponentTrainingID"><i>ComponentTrainingID</i></a>, const HTuple&amp; <a href="#AmbiguityCriterion"><i>AmbiguityCriterion</i></a>, const HTuple&amp; <a href="#MaxContourOverlap"><i>MaxContourOverlap</i></a>, const HTuple&amp; <a href="#ClusterThreshold"><i>ClusterThreshold</i></a>)</code></p>
<p>
<code><a href="HRegion.html">HRegion</a> <a href="HComponentTraining.html">HComponentTraining</a>::<b>InspectClusteredComponents</b>(const HString&amp; <a href="#AmbiguityCriterion"><i>AmbiguityCriterion</i></a>, double <a href="#MaxContourOverlap"><i>MaxContourOverlap</i></a>, double <a href="#ClusterThreshold"><i>ClusterThreshold</i></a>) const</code></p>
<p>
<code><a href="HRegion.html">HRegion</a> <a href="HComponentTraining.html">HComponentTraining</a>::<b>InspectClusteredComponents</b>(const char* <a href="#AmbiguityCriterion"><i>AmbiguityCriterion</i></a>, double <a href="#MaxContourOverlap"><i>MaxContourOverlap</i></a>, double <a href="#ClusterThreshold"><i>ClusterThreshold</i></a>) const</code></p>
<p>
<code><a href="HRegion.html">HRegion</a> <a href="HComponentTraining.html">HComponentTraining</a>::<b>InspectClusteredComponents</b>(const wchar_t* <a href="#AmbiguityCriterion"><i>AmbiguityCriterion</i></a>, double <a href="#MaxContourOverlap"><i>MaxContourOverlap</i></a>, double <a href="#ClusterThreshold"><i>ClusterThreshold</i></a>) const  <span class="signnote">
            (
            Windows only)
          </span></code></p>
</div>
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<div data-if="dotnet" style="display:none;">
<p>
<code>static void <a href="HOperatorSet.html">HOperatorSet</a>.<b>InspectClusteredComponents</b>(out <a href="HObject.html">HObject</a> <a href="#ModelComponents"><i>modelComponents</i></a>, <a href="HTuple.html">HTuple</a> <a href="#ComponentTrainingID"><i>componentTrainingID</i></a>, <a href="HTuple.html">HTuple</a> <a href="#AmbiguityCriterion"><i>ambiguityCriterion</i></a>, <a href="HTuple.html">HTuple</a> <a href="#MaxContourOverlap"><i>maxContourOverlap</i></a>, <a href="HTuple.html">HTuple</a> <a href="#ClusterThreshold"><i>clusterThreshold</i></a>)</code></p>
<p>
<code><a href="HRegion.html">HRegion</a> <a href="HComponentTraining.html">HComponentTraining</a>.<b>InspectClusteredComponents</b>(string <a href="#AmbiguityCriterion"><i>ambiguityCriterion</i></a>, double <a href="#MaxContourOverlap"><i>maxContourOverlap</i></a>, double <a href="#ClusterThreshold"><i>clusterThreshold</i></a>)</code></p>
</div>
<div data-if="python" style="display:none;">
<p>
<code>def <b>inspect_clustered_components</b>(<a href="#ComponentTrainingID"><i>component_training_id</i></a>: HHandle, <a href="#AmbiguityCriterion"><i>ambiguity_criterion</i></a>: str, <a href="#MaxContourOverlap"><i>max_contour_overlap</i></a>: float, <a href="#ClusterThreshold"><i>cluster_threshold</i></a>: float) -&gt; HObject</code></p>
</div>
<h2 id="sec_description">描述</h2>
<p><code><span data-if="hdevelop" style="display:inline">inspect_clustered_components</span><span data-if="c" style="display:none">inspect_clustered_components</span><span data-if="cpp" style="display:none">InspectClusteredComponents</span><span data-if="com" style="display:none">InspectClusteredComponents</span><span data-if="dotnet" style="display:none">InspectClusteredComponents</span><span data-if="python" style="display:none">inspect_clustered_components</span></code> creates a representation of the
rigid model components based on the training result
<a href="#ComponentTrainingID"><i><code><span data-if="hdevelop" style="display:inline">ComponentTrainingID</span><span data-if="c" style="display:none">ComponentTrainingID</span><span data-if="cpp" style="display:none">ComponentTrainingID</span><span data-if="com" style="display:none">ComponentTrainingID</span><span data-if="dotnet" style="display:none">componentTrainingID</span><span data-if="python" style="display:none">component_training_id</span></code></i></a> in form of contour regions.  The
resulting rigid model components are computed depending on the
criterion that is used to solve the ambiguities
<a href="#AmbiguityCriterion"><i><code><span data-if="hdevelop" style="display:inline">AmbiguityCriterion</span><span data-if="c" style="display:none">AmbiguityCriterion</span><span data-if="cpp" style="display:none">AmbiguityCriterion</span><span data-if="com" style="display:none">AmbiguityCriterion</span><span data-if="dotnet" style="display:none">ambiguityCriterion</span><span data-if="python" style="display:none">ambiguity_criterion</span></code></i></a>, the maximum allowable contour overlap
<a href="#MaxContourOverlap"><i><code><span data-if="hdevelop" style="display:inline">MaxContourOverlap</span><span data-if="c" style="display:none">MaxContourOverlap</span><span data-if="cpp" style="display:none">MaxContourOverlap</span><span data-if="com" style="display:none">MaxContourOverlap</span><span data-if="dotnet" style="display:none">maxContourOverlap</span><span data-if="python" style="display:none">max_contour_overlap</span></code></i></a>, and the cluster threshold
<a href="#ClusterThreshold"><i><code><span data-if="hdevelop" style="display:inline">ClusterThreshold</span><span data-if="c" style="display:none">ClusterThreshold</span><span data-if="cpp" style="display:none">ClusterThreshold</span><span data-if="com" style="display:none">ClusterThreshold</span><span data-if="dotnet" style="display:none">clusterThreshold</span><span data-if="python" style="display:none">cluster_threshold</span></code></i></a> (see <a href="train_model_components.html"><code><span data-if="hdevelop" style="display:inline">train_model_components</span><span data-if="c" style="display:none">train_model_components</span><span data-if="cpp" style="display:none">TrainModelComponents</span><span data-if="com" style="display:none">TrainModelComponents</span><span data-if="dotnet" style="display:none">TrainModelComponents</span><span data-if="python" style="display:none">train_model_components</span></code></a>). The
cluster threshold, for example, influences the merging of the
initial components. The greater the threshold is chosen, the fewer
initial components are merged. The determined rigid model components
are returned in <a href="#ModelComponents"><i><code><span data-if="hdevelop" style="display:inline">ModelComponents</span><span data-if="c" style="display:none">ModelComponents</span><span data-if="cpp" style="display:none">ModelComponents</span><span data-if="com" style="display:none">ModelComponents</span><span data-if="dotnet" style="display:none">modelComponents</span><span data-if="python" style="display:none">model_components</span></code></i></a>.
</p>
<p>Hence, after the components have been trained once by using
<a href="train_model_components.html"><code><span data-if="hdevelop" style="display:inline">train_model_components</span><span data-if="c" style="display:none">train_model_components</span><span data-if="cpp" style="display:none">TrainModelComponents</span><span data-if="com" style="display:none">TrainModelComponents</span><span data-if="dotnet" style="display:none">TrainModelComponents</span><span data-if="python" style="display:none">train_model_components</span></code></a>, <code><span data-if="hdevelop" style="display:inline">inspect_clustered_components</span><span data-if="c" style="display:none">inspect_clustered_components</span><span data-if="cpp" style="display:none">InspectClusteredComponents</span><span data-if="com" style="display:none">InspectClusteredComponents</span><span data-if="dotnet" style="display:none">InspectClusteredComponents</span><span data-if="python" style="display:none">inspect_clustered_components</span></code>
can be used to estimate the effect of different values for the
parameters <a href="#AmbiguityCriterion"><i><code><span data-if="hdevelop" style="display:inline">AmbiguityCriterion</span><span data-if="c" style="display:none">AmbiguityCriterion</span><span data-if="cpp" style="display:none">AmbiguityCriterion</span><span data-if="com" style="display:none">AmbiguityCriterion</span><span data-if="dotnet" style="display:none">ambiguityCriterion</span><span data-if="python" style="display:none">ambiguity_criterion</span></code></i></a>, <a href="#MaxContourOverlap"><i><code><span data-if="hdevelop" style="display:inline">MaxContourOverlap</span><span data-if="c" style="display:none">MaxContourOverlap</span><span data-if="cpp" style="display:none">MaxContourOverlap</span><span data-if="com" style="display:none">MaxContourOverlap</span><span data-if="dotnet" style="display:none">maxContourOverlap</span><span data-if="python" style="display:none">max_contour_overlap</span></code></i></a>,
and <a href="#ClusterThreshold"><i><code><span data-if="hdevelop" style="display:inline">ClusterThreshold</span><span data-if="c" style="display:none">ClusterThreshold</span><span data-if="cpp" style="display:none">ClusterThreshold</span><span data-if="com" style="display:none">ClusterThreshold</span><span data-if="dotnet" style="display:none">clusterThreshold</span><span data-if="python" style="display:none">cluster_threshold</span></code></i></a> without performing the complete
training procedure several times. Once the desired parameter values
have been found, they can be efficiently adopted into the training
result by using <a href="cluster_model_components.html"><code><span data-if="hdevelop" style="display:inline">cluster_model_components</span><span data-if="c" style="display:none">cluster_model_components</span><span data-if="cpp" style="display:none">ClusterModelComponents</span><span data-if="com" style="display:none">ClusterModelComponents</span><span data-if="dotnet" style="display:none">ClusterModelComponents</span><span data-if="python" style="display:none">cluster_model_components</span></code></a>.</p>
<h2 id="sec_execution">运行信息</h2>
<ul>
  <li>多线程类型:可重入(与非独占操作符并行运行)。</li>
<li>多线程作用域:全局(可以从任何线程调用)。</li>
  <li>未经并行化处理。</li>
</ul>
<h2 id="sec_parameters">参数表</h2>
  <div class="par">
<div class="parhead">
<span id="ModelComponents" class="parname"><b><code><span data-if="hdevelop" style="display:inline">ModelComponents</span><span data-if="c" style="display:none">ModelComponents</span><span data-if="cpp" style="display:none">ModelComponents</span><span data-if="com" style="display:none">ModelComponents</span><span data-if="dotnet" style="display:none">modelComponents</span><span data-if="python" style="display:none">model_components</span></code></b> (output_object)  </span><span>region(-array) <code>→</code> <span data-if="hdevelop" style="display:inline">object</span><span data-if="dotnet" style="display:none"><a href="HRegion.html">HRegion</a></span><span data-if="python" style="display:none">HObject</span><span data-if="cpp" style="display:none"><a href="HRegion.html">HRegion</a></span><span data-if="c" style="display:none">Hobject *</span></span>
</div>
<p class="pardesc">Contour regions of rigid model components.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="ComponentTrainingID" class="parname"><b><code><span data-if="hdevelop" style="display:inline">ComponentTrainingID</span><span data-if="c" style="display:none">ComponentTrainingID</span><span data-if="cpp" style="display:none">ComponentTrainingID</span><span data-if="com" style="display:none">ComponentTrainingID</span><span data-if="dotnet" style="display:none">componentTrainingID</span><span data-if="python" style="display:none">component_training_id</span></code></b> (input_control)  </span><span>component_training <code>→</code> <span data-if="dotnet" style="display:none"><a href="HComponentTraining.html">HComponentTraining</a>, </span><span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">HHandle</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (handle)</span><span data-if="dotnet" style="display:none"> (<i>IntPtr</i>)</span><span data-if="cpp" style="display:none"> (<i>HHandle</i>)</span><span data-if="c" style="display:none"> (<i>handle</i>)</span></span>
</div>
<p class="pardesc">Handle of the training result.</p>
</div>
  <div class="par">
<div class="parhead">
<span id="AmbiguityCriterion" class="parname"><b><code><span data-if="hdevelop" style="display:inline">AmbiguityCriterion</span><span data-if="c" style="display:none">AmbiguityCriterion</span><span data-if="cpp" style="display:none">AmbiguityCriterion</span><span data-if="com" style="display:none">AmbiguityCriterion</span><span data-if="dotnet" style="display:none">ambiguityCriterion</span><span data-if="python" style="display:none">ambiguity_criterion</span></code></b> (input_control)  </span><span>string <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">str</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (string)</span><span data-if="dotnet" style="display:none"> (<i>string</i>)</span><span data-if="cpp" style="display:none"> (<i>HString</i>)</span><span data-if="c" style="display:none"> (<i>char*</i>)</span></span>
</div>
<p class="pardesc">Criterion for solving the ambiguities.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>
    <span data-if="hdevelop" style="display:inline">'rigidity'</span>
    <span data-if="c" style="display:none">"rigidity"</span>
    <span data-if="cpp" style="display:none">"rigidity"</span>
    <span data-if="com" style="display:none">"rigidity"</span>
    <span data-if="dotnet" style="display:none">"rigidity"</span>
    <span data-if="python" style="display:none">"rigidity"</span>
</p>
<p class="pardesc"><span class="parcat">List of values:
      </span><span data-if="hdevelop" style="display:inline">'distance'</span><span data-if="c" style="display:none">"distance"</span><span data-if="cpp" style="display:none">"distance"</span><span data-if="com" style="display:none">"distance"</span><span data-if="dotnet" style="display:none">"distance"</span><span data-if="python" style="display:none">"distance"</span>, <span data-if="hdevelop" style="display:inline">'distance_orientation'</span><span data-if="c" style="display:none">"distance_orientation"</span><span data-if="cpp" style="display:none">"distance_orientation"</span><span data-if="com" style="display:none">"distance_orientation"</span><span data-if="dotnet" style="display:none">"distance_orientation"</span><span data-if="python" style="display:none">"distance_orientation"</span>, <span data-if="hdevelop" style="display:inline">'orientation'</span><span data-if="c" style="display:none">"orientation"</span><span data-if="cpp" style="display:none">"orientation"</span><span data-if="com" style="display:none">"orientation"</span><span data-if="dotnet" style="display:none">"orientation"</span><span data-if="python" style="display:none">"orientation"</span>, <span data-if="hdevelop" style="display:inline">'rigidity'</span><span data-if="c" style="display:none">"rigidity"</span><span data-if="cpp" style="display:none">"rigidity"</span><span data-if="com" style="display:none">"rigidity"</span><span data-if="dotnet" style="display:none">"rigidity"</span><span data-if="python" style="display:none">"rigidity"</span></p>
</div>
  <div class="par">
<div class="parhead">
<span id="MaxContourOverlap" class="parname"><b><code><span data-if="hdevelop" style="display:inline">MaxContourOverlap</span><span data-if="c" style="display:none">MaxContourOverlap</span><span data-if="cpp" style="display:none">MaxContourOverlap</span><span data-if="com" style="display:none">MaxContourOverlap</span><span data-if="dotnet" style="display:none">maxContourOverlap</span><span data-if="python" style="display:none">max_contour_overlap</span></code></b> (input_control)  </span><span>real <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">float</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Maximum contour overlap of the found initial
components.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>0.2</p>
<p class="pardesc"><span class="parcat">Suggested values:
      </span>0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0</p>
<p class="pardesc"><span class="parcat">Minimum increment:
      </span>0.01</p>
<p class="pardesc"><span class="parcat">Recommended increment:
      </span>0.05</p>
<p class="pardesc"><span class="parcat">Restriction:
      </span><code>0 &lt;= MaxContourOverlap &amp;&amp; MaxContourOverlap &lt;= 1</code></p>
</div>
  <div class="par">
<div class="parhead">
<span id="ClusterThreshold" class="parname"><b><code><span data-if="hdevelop" style="display:inline">ClusterThreshold</span><span data-if="c" style="display:none">ClusterThreshold</span><span data-if="cpp" style="display:none">ClusterThreshold</span><span data-if="com" style="display:none">ClusterThreshold</span><span data-if="dotnet" style="display:none">clusterThreshold</span><span data-if="python" style="display:none">cluster_threshold</span></code></b> (input_control)  </span><span>real <code>→</code> <span data-if="dotnet" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="python" style="display:none">float</span><span data-if="cpp" style="display:none"><a href="HTuple.html">HTuple</a></span><span data-if="c" style="display:none">Htuple</span><span data-if="hdevelop" style="display:inline"> (real)</span><span data-if="dotnet" style="display:none"> (<i>double</i>)</span><span data-if="cpp" style="display:none"> (<i>double</i>)</span><span data-if="c" style="display:none"> (<i>double</i>)</span></span>
</div>
<p class="pardesc">Threshold for clustering the initial components.</p>
<p class="pardesc"><span class="parcat">Default:
      </span>0.5</p>
<p class="pardesc"><span class="parcat">Suggested values:
      </span>0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0</p>
<p class="pardesc"><span class="parcat">Restriction:
      </span><code>0 &lt;= ClusterThreshold &amp;&amp; ClusterThreshold &lt;= 1</code></p>
</div>
<h2 id="sec_example_all">例程 (HDevelop)</h2>
<pre class="example">
* Get the model image.
read_image (ModelImage, 'model_image.tif')
* Define the regions for the initial components.
gen_rectangle2 (InitialComponentRegions, 212, 233, 0.62, 167, 29)
gen_rectangle2 (Rectangle2, 298, 363, 1.17, 162, 34)
gen_rectangle2 (Rectangle3, 63, 444, -0.26, 50, 27)
gen_rectangle2 (Rectangle4, 120, 473, 0, 33, 20)
concat_obj (InitialComponentRegions, Rectangle2, InitialComponentRegions)
concat_obj (InitialComponentRegions, Rectangle3, InitialComponentRegions)
concat_obj (InitialComponentRegions, Rectangle4, InitialComponentRegions)
* Get the training images
gen_empty_obj (TrainingImages)
for i := 1 to 4 by 1
    read_image (TrainingImage, 'training_image-'+i$'02'+'.tif')
    concat_obj (TrainingImages, TrainingImage, TrainingImages)
endfor
* Extract the model components and train the relations.
train_model_components (ModelImage, InitialComponentRegions, \
                        TrainingImages, ModelComponents, 22, 60, 30, 0.65, \
                        0, 0, rad(60), 'speed', 'rigidity', 0.2, 0.5, \
                        ComponentTrainingID)
* Find the best value for the parameter ClusterThreshold.
inspect_clustered_components (ModelComponents, ComponentTrainingID, \
                              'rigidity', 0.2, 0.4)
* Adopt the ClusterThreshold into the training result.
cluster_model_components (ModelComponents, ModelComponents, \
                          ComponentTrainingID, 'rigidity', 0.2, 0.4)
* Create the component model based on the training result.
create_trained_component_model (ComponentTrainingID, -rad(30), rad(60), 10, \
                                0.5, 'auto', 'auto', 'none', \
                                'use_polarity', 'false', ComponentModelID, \
                                RootRanking)
</pre>
<h2 id="sec_result">结果</h2>
<p>If the handle of the training result is valid, 该算子
<code><span data-if="hdevelop" style="display:inline">inspect_clustered_components</span><span data-if="c" style="display:none">inspect_clustered_components</span><span data-if="cpp" style="display:none">InspectClusteredComponents</span><span data-if="com" style="display:none">InspectClusteredComponents</span><span data-if="dotnet" style="display:none">InspectClusteredComponents</span><span data-if="python" style="display:none">inspect_clustered_components</span></code> 返回值 <TT>2</TT> (
      <TT>H_MSG_TRUE</TT>)
    .  If
necessary an exception is raised.</p>
<h2 id="sec_predecessors">可能的前置算子</h2>
<p>
<code><a href="train_model_components.html"><span data-if="hdevelop" style="display:inline">train_model_components</span><span data-if="c" style="display:none">train_model_components</span><span data-if="cpp" style="display:none">TrainModelComponents</span><span data-if="com" style="display:none">TrainModelComponents</span><span data-if="dotnet" style="display:none">TrainModelComponents</span><span data-if="python" style="display:none">train_model_components</span></a></code>
</p>
<h2 id="sec_successors">可能的后置算子</h2>
<p>
<code><a href="cluster_model_components.html"><span data-if="hdevelop" style="display:inline">cluster_model_components</span><span data-if="c" style="display:none">cluster_model_components</span><span data-if="cpp" style="display:none">ClusterModelComponents</span><span data-if="com" style="display:none">ClusterModelComponents</span><span data-if="dotnet" style="display:none">ClusterModelComponents</span><span data-if="python" style="display:none">cluster_model_components</span></a></code>
</p>
<h2 id="sec_module">模块</h2>
<p>
Matching</p>
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